At Wheely, we are building the future of high-end transportation. We’re pioneering a new standard of excellence and crafting unparalleled brand, product and service experiences for discerning individuals who prioritize time and perfection above all else. Join us as we scale Wheely from London, Dubai and Paris to dozens of markets around the world in the coming years. With over 3000 chauffeur partners and hundreds of thousands of customers, we are fortunate to be the leading brand in all the markets we operate in.

Requirements

Degree in Mathematics, Economics, Computer Science, or Statistics
Experience in analysing large data sets
Proficiency in SQL
Strong programming skills in Python
Competence in at least one business intelligence tool such as Looker or Metabase, and a strong grasp of data visualisation techniques
Experience in leading experimental initiatives, use of statistical methods, design and analysis of experiments, and providing insightful recommendations
Familiarity with supervised machine learning frameworks, including but not limited to, Linear Regression, Decision Trees, and Gradient Boosting

What we offer

Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.

Competitive salary
Employee stock options plan
Relocation allowance
Lunch allowance
Medical insurance, including dental
Best-in-class equipment
Professional development subsidies
Wheely has an in-person culture but allows flexible working hours and work from home when needed

Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice